A new approach for solving multi-objective transportation problems
In this paper, a weighted approach based on goal programming to obtain compromise
solutions is proposed. In the proposed approach, a new weighted model is presented to …
solutions is proposed. In the proposed approach, a new weighted model is presented to …
Assessment of Enhanced Oil Recovery and CO2 Storage Capacity Using Machine Learning and Optimization Framework
This paper presents an optimization methodology on field-scale numerical compositional
simulations of CO2 storage and production performance in the Pennsylvanian Upper …
simulations of CO2 storage and production performance in the Pennsylvanian Upper …
Multi-Objective Optimization of CO2 Enhanced Oil Recovery Projects Using a Hybrid Artificial Intelligence Approach
In this paper, a hybrid scheme that couples artificial neural network (ANN) and multi-
objective optimizers is structured to co-optimize oil recovery and carbon storage of CO2 …
objective optimizers is structured to co-optimize oil recovery and carbon storage of CO2 …
A distance based method for solving multi-objective optimization problems
A new model for the weighted method of goal programming is proposed based on
minimizing the distances between ideal objectives to feasible objective space. It provides …
minimizing the distances between ideal objectives to feasible objective space. It provides …
An integrated multi-criteria and multi-objective optimization approach for establishing the transport plan of intercity trains
S Stoilova - Sustainability, 2020 - mdpi.com
The development of the transport plan must take into account various criteria impacting the
transport process. The main objective of the study is to propose an integrated approach to …
transport process. The main objective of the study is to propose an integrated approach to …
To use an ant colony technique to solve a crispy type bi-and tri-objective transportation problem
E Ekanayake - Journal of Computational and Cognitive …, 2023 - ojs.bonviewpress.com
Transportation problem (TP) aims to reduce the entire transportation cost of moving
resources from various supply hubs to various demand hubs. However, in real-life situations …
resources from various supply hubs to various demand hubs. However, in real-life situations …
A new approach to solve Multi-objective Transportation Problem
L Kaur, M Rakshit, S Singh - Applications and …, 2018 - digitalcommons.pvamu.edu
In this paper, a simple approach is proposed to obtain the best compromise solution of linear
multiobjective transportation problem (MOTP). Using this approach, we get unique efficient …
multiobjective transportation problem (MOTP). Using this approach, we get unique efficient …
Solving vehicle transshipment problem using multi-objective optimization
With rapid growth of demands, transportation of goods today becomes much busier. Finding
the optimal transport job assignment for the requested demands is essential for …
the optimal transport job assignment for the requested demands is essential for …
Structural optimization of a perovskite solar cell using single-and multi-objective particle swarm optimization method
In this paper, optimizing the efficiency characteristic parameters of a perovskite solar cell has
been carried out by augmenting the particle swarm optimization algorithm to the SCAPS …
been carried out by augmenting the particle swarm optimization algorithm to the SCAPS …
A Patient Risk Minimization Model for Post-Disaster Medical Delivery Using Unmanned Aircraft Systems
MJ Simpson - 2022 - commons.erau.edu
A Patient Risk Minimization Model for Post-Disaster Medical Delivery Using Unmanned Aircraft
Systems Page 1 PhD Dissertations and Master's Theses Summer 2022 A Patient Risk …
Systems Page 1 PhD Dissertations and Master's Theses Summer 2022 A Patient Risk …